Robert Dadashi
Robert Dadashi
Google Brain
Verified email at google.com
Title
Cited by
Cited by
Year
A Geometric Perspective on Optimal Representations for Reinforcement Learning
M Bellemare, W Dabney, R Dadashi, A Ali Taiga, PS Castro, N Le Roux, ...
Neural Information Processing Systems (NeurIPS), 2019
392019
Statistics and Samples in Distributional Reinforcement Learning
M Rowland, R Dadashi, S Kumar, R Munos, MG Bellemare, W Dabney
International Conference on Machine Learning (ICML), 2019
232019
The Value Function Polytope in Reinforcement Learning
R Dadashi, AA Taïga, NL Roux, D Schuurmans, MG Bellemare
International Conference on Machine Learning (ICML), 2019
202019
Primal Wasserstein Imitation Learning
R Dadashi, L Hussenot, M Geist, O Pietquin
International Conference on Learning Representations (ICLR) 2021, 2020
132020
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
W Dabney, A Barreto, M Rowland, R Dadashi, J Quan, MG Bellemare, ...
AAAI Conference on Artificial Intelligence 2021, 2020
62020
Show me the Way: Intrinsic Motivation from Demonstrations
L Hussenot, R Dadashi, M Geist, O Pietquin
International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2020
22020
Offline Reinforcement Learning as Anti-Exploration
S Rezaeifar, R Dadashi, N Vieillard, L Hussenot, O Bachem, O Pietquin, ...
arXiv preprint arXiv:2106.06431, 2021
12021
What Matters for Adversarial Imitation Learning?
M Orsini, A Raichuk, L Hussenot, D Vincent, R Dadashi, S Girgin, M Geist, ...
arXiv preprint arXiv:2106.00672, 2021
12021
Hyperparameter Selection for Imitation Learning
L Hussenot, M Andrychowicz, D Vincent, R Dadashi, A Raichuk, ...
International Conference on Machine Learning (ICML), 2021
12021
Offline Reinforcement Learning with Pseudometric Learning
R Dadashi, S Rezaeifar, N Vieillard, L Hussenot, O Pietquin, M Geist
International Conference on Machine Learning (ICML), 2021
12021
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Articles 1–10